Yunqi Zhao — accepted AI-conference papers

2024

GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes

Haozhe Lin, Chunyu Wei, Li He, Yuchen Guo, Yunqi Zhao, Shanglong Li +1

CVPR 2024poster

Pedestrian trajectory prediction is a well-established task with significant recent advancements. However existing datasets are unable to fulfill the demand for studying minute-level long-term trajectory prediction mainly due to the lack of high-resolution trajectory observation in the wide field of…

Cited by 3 Source ↗PDF ↗Scholar ↗

2022

Multi-Critic Actor Learning: Teaching RL Policies to Act with Style

Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu

ICLR 2022poster

Using a single value function (critic) shared over multiple tasks in Actor-Critic multi-task reinforcement learning (MTRL) can result in negative interference between tasks, which can compromise learning performance. Multi-Critic Actor Learning (MultiCriticAL) proposes instead maintaining separate c…

Cited by 32 Source ↗PDF ↗Scholar ↗